Remote AI Data Scientist - Content & Evaluation

YO AI Labs; California City (CA); Remote; USD 55,000 - 110,000; Part time

Job summary

YO AI Labs is seeking an AI Data Science Domain Expert for a part-time remote contractor role. You will review, edit, and refine AI-generated technical content to improve accuracy, clarity, and model performance. Strong data science knowledge and communication are essential.

Responsibilities include developing prompts, conducting rubric-based assessments, performing independent data checks, and producing clear technical reports. Prior experience with content review or data annotation is a plus.

Qualifications

• Critical thinking and analytical reasoning skills.
• Prompt engineering and AI output evaluation abilities.
• Attention to detail and problem-solving mindset.
• Excellent technical documentation and reporting skills.
• Experience with data annotation and rubric-based evaluation is preferred.

Responsibilities

• Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
• Develop, optimize, and evaluate prompts to improve AI model performance.
• Conduct rubric-based assessments of AI outputs and provide structured feedback.
• Perform independent research and fact-checking to validate technical information.
• Annotate data and support quality assurance initiatives for AI training
• Interpret complex datasets and prepare clear technical reports and summaries.
• Collaborate remote with project teams to improve AI models and workflows.

Skills

Critical Thinking

Analytical Reasoning

Prompt Engineering

AI Output Evaluation

Quality Assurance

Technical Documentation

Technical & Report Writing

Content Review & Editing

Data Annotation

Data Interpretation

Fact Checking

Independent Research

Problem-Solving

Attention to Detail

Education

Master's or higher preferred

Job description

YO AI Labs is seeking an AI Data Science Domain Expert for a part-time remote contractor role. You will review, edit, and refine AI-generated technical content to improve accuracy, clarity, and model performance. Strong data science knowledge and communication are essential.

Responsibilities include developing prompts, conducting rubric-based assessments, performing independent data checks, and producing clear technical reports. Prior experience with content review or data annotation is a plus.